Update app.py

app.py

@@ -1,64 +1,28 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+import requests
+import os
+
+# أنشئ مجلد لحفظ الملفات إذا أردت
+os.makedirs("darkgpt_files", exist_ok=True)
+
+# قائمة الملفات التي نريد تحميلها
+files = [
+    "app.py",
+    "darkgpt.png",
+    "requirements.txt",
+    "README.md"
+]
+
+base_url = "https://huggingface.co/spaces/billibonkers/DarkGPT_1.0_Bonkers/resolve/main/"
+
+for file_name in files:
+    url = base_url + file_name
+    save_path = os.path.join("darkgpt_files", file_name)
+    print(f"Downloading {file_name}...")
+    
+    response = requests.get(url)
+    if response.status_code == 200:
+        with open(save_path, "wb") as f:
+            f.write(response.content)
+        print(f"Saved to {save_path}")
+    else:
+        print(f"Failed to download {file_name} (status code: {response.status_code})")